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Cite this (Linked Neuron Data, RRID:SCR_003658)


Resource Type: Resource, data set, data or information resource

Neuroscience data and knowledge from multiple scales and multiple data sources that has been extracted, linked, and organized to support comprehensive understanding of the brain. The core is the CAS Brain Knowledge base, a very large scale brain knowledge base based on automatic knowledge extraction and integration from various data and knowledge sources. The LND platform provides services for neuron data and knowledge extraction, representation, integration, visualization, semantic search and reasoning over the linked neuron data. Currently, LND extracts and integrates semantic data and knowledge from the following resources: PubMed, INCF-CUMBO, Allen Reference Atlas, NIF, NeuroLex, MeSH, DBPedia/Wikipedia, etc.

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Cite this (NIDDK Information Network, RRID:SCR_001606)


Resource Type: Resource, community building portal, database, resource, portal, data or information resource

A community-based network to serve the needs of basic and clinical investigators that includes large pools of data and research resources relevant to the mission of NIDDK (National Institute of Diabetes and Digestive and Kidney Disease).

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Cite this (SciCrunch Registry, RRID:SCR_005400)


Resource Type: Resource, portal, database, community building portal, data or information resource

Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch are assigned RRIDs which are used to cite resources in scientific manuscripts.

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Cite this (SciCrunch, RRID:SCR_003115)


Resource Type: Resource, portal, community building portal, data or information resource

Community building portal where users can create a portal for their community and choose what resources are related to their community to meet their community's needs. The SciCrunch Registry, formerly the NIF Registry, provides a catalog from which to choose. Adding new resources, or editing existing resources, is welcome.

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Cite this (SenseLab, RRID:SCR_007276)


Resource Type: Resource, organization portal, database, portal, data or information resource

The SenseLab Project is a long-term effort to build integrated, multidisciplinary models of neurons and neural systems. It was founded in 1993 as part of the original Human Brain Project, which began the development of neuroinformatics tools in support of neuroscience research. It is now part of the Neuroscience Information Framework (NIF) and the International Neuroinformatics Coordinating Facility (INCF). The SenseLab project involves novel informatics approaches to constructing databases and database tools for collecting and analyzing neuroscience information, using the olfactory system as a model, with extension to other brain systems. SenseLab contains seven related databases that support experimental and theoretical research on the membrane properties: CellPropDB, NeuronDB, ModelDB, ORDB, OdorDB, OdorMapDB, BrainPharmA pilot Web portal that successfully integrates multidisciplinary neurocience data.

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Cite this (Whole Brain Catalog, RRID:SCR_007011)


Resource Type: Resource, data repository, data processing software, software application, image collection, data visualization software, software resource, service resource, d spatial image, storage service resource, atlas, image repository, simulation software, data or information resource

THIS RESOURCE IS NO LONGER IN SERVICE, documented May 26, 2016. An open source, downloadable, 3d atlas of the mouse brain and its cellular constituents that allows multi-scale data to be visualized in a seamless way, similar to Google earth. Data within the Catalog is marked up with annotations and can link out to additional data sources via a semantic framework. This next generation open environment has been developed to connect members of the neuroscience community to facilitate solutions for today's intractable challenges in brain research through cooperation and crowd sourcing. The client-server platform provides rich 3-D views for researchers to zoom in, out, and around structures deep in a multi-scale spatial framework of the mouse brain. An open-source, 3-D graphics engine used in graphics-intensive computer gaming generates high-resolution visualizations that bring data to life through biological simulations and animations. Within the Catalog, researchers can view and contribute a wide range of data including: * 3D meshes of subcellular scenes or brain region territories * Large 2D image datasets from both electron and light level microscopy * NeuroML and Neurolucida neuronal reconstructions * Protein Database molecular structures Users of the Whole Brain Catalog can: * Fit data of any scale into the international standard atlas coordinate system for spatial brain mapping, the Waxholm Space. * View brain slices, neurons and their animation, neuropil reconstructions, and molecules in appropriate locations * View data up close and at a high resolution * View their own data in the Whole Brain Catalog environment * View data within a semantic environment supported by vocabularies from the Neuroscience Information Framework (NIF) at * Contribute code and connect personal tools to the environment * Make new connections with related research and researchers 5 Easy Ways to Explore: * Explore the datasets across multiple scales. * View data closely at high resolution. * Observe accurately simulated neurons. * Readily search for content. * Contribute your own research.

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